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Data Cleansing Jobs in California (NOW HIRING)

AWS Data Architect

Gardena, CA · On-site

$65.25 - $84/hr

Implement data cleansing and normalization techniques to ensure data quality * Manage data ingestion schedules and error handling mechanisms Required Skills and Experience * AWS Expertise Deep ...

AWS Data Architect

Torrance, CA · On-site

$66.50 - $85.50/hr

Implement data cleansing and normalization techniques to ensure data quality. * Manage data ingestion schedules and error handling mechanisms. * Data Governance and Access Control: * Establish data ...

PLM Data Migration Architect

San Jose, CA · On-site

$74.75 - $96/hr

Data Mapping, Data Cleansing, Validation, Dry Runs, Cutover Planning, Rollback Strategy. • Work closely with solution architects, business stakeholders, and delivery teams to ensure a successful ...

AWS Data Architect

Torrance, CA · On-site

$65.50 - $84.25/hr

Implement data cleansing and normalization techniques to ensure data quality. * Manage data ingestion schedules and error handling mechanisms. * Data Governance and Access Control: * Establish data ...

Operations Data Analyst

Dublin, CA · On-site

$43 - $48/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Cleansing. * Statistical Tools. * SQL. * Oracle. * Business Objects. * UNIX Shell Programming. * SAS. * Visual Basic. * Perl. * C. * Strong verbal and written communication skills. Qualification ...

New

Operations Data Analyst

Dublin, CA · On-site

$43.85 - $48.85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Cleansing. Statistical Tools. SQL. Oracle. Business Objects. UNIX Shell Programming. SAS. Visual Basic. Perl. C. Strong verbal and written communication skills. Qualification And Education:

New

Operations Data Analyst

Dublin, CA · On-site

$43.85 - $48.85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Cleansing. * Statistical Tools. * SQL. * Oracle. * Business Objects. * UNIX Shell Programming. * SAS. * Visual Basic. * Perl. * C. * Strong verbal and written communication skills. Qualification ...

New

AWS Data Architect

Torrance, CA · On-site

$120 - $160/hr

Implement data cleansing and normalization techniques to ensure data quality. * Manage data ingestion schedules and error handling mechanisms. * Data Governance and Access Control: * Establish data ...

Identify areas requiring data profiling and cleansing. * Identify data requirements related to reporting and analytics to be designed. * Identify and engage key stakeholders from various functional ...

Operations Data Analyst

Dublin, CA · On-site

$45 - $50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... cleansing. The analyst manages standard data extracts and list pulls ensuring accurate data, and transfers data from databases to various analysts to support operational analysis efforts. The role ...

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Showing results 1-20

Data Cleansing information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data cleansing jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data cleansing in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data cleansing, and why are they important?

To thrive in Data Cleansing, you need strong analytical skills, attention to detail, and familiarity with data management concepts—ideally supported by a degree in information technology, computer science, or a related field. Proficiency with tools such as Microsoft Excel, SQL, data profiling tools, and, in some cases, data integration platforms or data quality software is highly valuable. Excellent problem-solving abilities, strong communication, and the ability to work both independently and collaboratively are crucial soft skills. These competencies are essential for ensuring the accuracy, consistency, and usability of organizational data, which directly impacts decision-making and operational efficiency.

What is data cleansing?

A Data Cleansing job involves identifying and correcting inaccuracies, inconsistencies, and errors in datasets to ensure data quality and reliability. Professionals in this role clean data by removing duplicates, standardizing formats, handling missing values, and validating information. This process improves the accuracy of business insights, enhances decision-making, and optimizes data-driven operations. Data cleansing is commonly required in industries such as marketing, finance, healthcare, and e-commerce, where accurate data is essential for efficiency and compliance.

What are some common challenges faced in data cleansing?

Data Cleansing professionals often encounter challenges such as handling large volumes of inconsistent or incomplete data, identifying duplicate entries, and ensuring accuracy while meeting tight deadlines. They may also need to work with data from multiple sources and formats, requiring adaptability and strong technical know-how. Collaboration with data analysts, IT teams, and business stakeholders is common to ensure the cleaned data meets organizational needs. Overcoming these challenges helps maintain data integrity and directly supports effective business operations.

What are the most commonly searched types of Data Cleansing jobs in California? The most popular types of Data Cleansing jobs in California are:
What are popular job titles related to Data Cleansing jobs in California? For Data Cleansing jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Cleansing jobs in California look for? The top searched job categories for Data Cleansing jobs in California are:
What cities in California are hiring for Data Cleansing jobs? Cities in California with the most Data Cleansing job openings:
Infographic showing various Data Cleansing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

AWS Data Architect

MSR Cosmos

Gardena, CA • On-site

$65.25 - $84/hr

Contractor

Re-posted 24 days ago


Job description

Role: AWS Data Architect
Location : Toorance CA Onsite
Duration: Long Term
 
Developing CDM (Conceptual Data Model), LDM (Logical Data Model), PDM (Physical Data Model), data modeling, integration, data migration, and ETL development on the AWS platform.
 
Key skill The role requires specific skills around developing CDM (Conceptual Data Model), LDM (Logical Data Model), PDM (Physical Data Model), data modeling, integration, data migration, and ETL development on the AWS platform.
 
Key Responsibilities
 
  • Architect and implement a scalable data hub solution on AWS using best practices for data ingestion transformation storage and access control
  • Define data models data lineage and data quality standards for the DataHub
  • Select appropriate AWS services S3 Glue Redshift Athena Lambda based on data volume access patterns and performance requirements
  • Design and build data pipelines to extract transform and load data from various sources databases APIs flat files into the DataHub using AWS Glue AWS Batch or custom ETL processes
  • Implement data cleansing and normalization techniques to ensure data quality
  • Manage data ingestion schedules and error handling mechanisms
 
Required Skills and Experience
 
  • AWS Expertise Deep understanding of AWS data services including S3 Glue Redshift Athena Lake Formation Sep Functions CloudWatch and EventBridge
  • Data Modeling Proficiency in designing dimensional and snowflake data models for data warehousing and data lakes
  • Data Engineering Skills Experience with ETLELT processes data cleansing data transformation and data quality checks Experience with Informatica IICS and ICDQ is a plus
  • Programming Languages Proficiency in Python SQL and potentially PySpark for data processing and manipulation
  • Data Governance Knowledge of data governance best practices including data classification access control and data lineage tracking
 
Thanks
Ramesh
 ramesh.u(at)msrcosmos(dot)com